Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness | Paper Citation Record

Observation e3495387-e84d-4ac3-bded-b746187b988f · outbound

This paper cites Kan- wal, Tegan Maharaj, Asja Fischer, Aaron C.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Kan- wal, Tegan Maharaj, Asja Fischer, Aaron C

Reference 1

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Observation ea002fec-17c5-44d2-b07d-c7cff717d34d · outbound

This paper cites In- fluence functions in deep learning are fragile.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness In- fluence functions in deep learning are fragile

Reference 2

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This paper cites Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot

Reference 3

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Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Unresolved cited work

Reference 4

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This paper cites Towards making systems forget with machine unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Towards making systems forget with machine unlearning

Reference 5

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Observation b92e93e3-127a-42ee-b597-066a3015020e · outbound

This paper cites Mem- bership inference attacks from first principles.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Mem- bership inference attacks from first principles

Reference 6

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Observation de5c6e0d-6f64-4b46-8e38-4e96bea823a7 · outbound

This paper cites Quantifying memorization across neural language mod- els.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Quantifying memorization across neural language mod- els

Reference 7

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Observation 296375a8-d82e-4159-8b38-3b88c1684e5d · outbound

This paper cites Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel

Reference 8

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Observation b59cea1d-bd95-46a9-b41c-23e21b88b967 · outbound

This paper cites Fedmua: Exploring the vulner- abilities of federated learning to malicious unlearning attacks.IEEE Transactions on Information Forensics and Security, 2025.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Fedmua: Exploring the vulner- abilities of federated learning to malicious unlearning attacks.IEEE Transactions on Information Forensics and Security, 2025

Reference 9

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Observation d86c2b5a-bdc9-4e47-8314-b66e6c4f589a · outbound

This paper cites Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.942760Z

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Observation 6f8fc067-98e8-409d-bf7d-39be3983bf78 · outbound

This paper cites When machine unlearning jeopardizes privacy.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness When machine unlearning jeopardizes privacy

Reference 11

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Observation 114bb501-3908-4988-ae16-d23d6852b485 · outbound

This paper cites Tools for verifying neural models’ training data.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Tools for verifying neural models’ training data

Reference 12

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Observation 40144342-7402-417a-8c4e-4f22a254cc3a · outbound

This paper cites Forget unlearning: Towards true data-deletion in machine learning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Forget unlearning: Towards true data-deletion in machine learning

Reference 13

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This paper cites CINIC-10 is not ImageNet or CIFAR-10.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness CINIC-10 is not ImageNet or CIFAR-10

Reference 14

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This paper cites Di, Jack Douglas, Jayadev Acharya, Gau- tam Kamath, and Ayush Sekhari.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Di, Jack Douglas, Jayadev Acharya, Gau- tam Kamath, and Ayush Sekhari

Reference 15

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Observation 2eb653e6-beba-4296-b72f-1dd1316b19de · outbound

This paper cites A tale of tails: Model col- lapse as a change of scaling laws.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness A tale of tails: Model col- lapse as a change of scaling laws

Reference 16

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Observation fb258d87-d9b1-4649-92f0-0749c6b440c1 · outbound

This paper cites A mathematical framework for transformer circuits, 2021.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness A mathematical framework for transformer circuits, 2021

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.887864Z

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Observation eb67a413-0e33-454b-8a09-6d899ef27be4 · outbound

This paper cites Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning

Reference 18

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Observation 964f15da-4a21-48fe-a4fc-85709341a674 · outbound

This paper cites CroissantLLM: A Truly Bilingual French-English Language Model.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness CroissantLLM: A Truly Bilingual French-English Language Model

Reference 19

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Observation 50f126e8-f7c8-4860-9041-527a476a8476 · outbound

This paper cites Does learning require memorization? a short tale about a long tail.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Does learning require memorization? a short tale about a long tail

Reference 20

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Observation b46d4f95-fdde-412c-a984-6f752a076126 · outbound

This paper cites Fast machine unlearning without retraining through se- lective synaptic dampening.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Fast machine unlearning without retraining through se- lective synaptic dampening

Reference 21

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Observation def81b6d-5894-4cca-b6c2-190399207997 · outbound

This paper cites short-length.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness short-length

Reference 22

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Observation 528bbaec-ebe3-4fdd-b24a-c8d653a5a8c7 · outbound

This paper cites Mixed-privacy forgetting in deep networks.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Mixed-privacy forgetting in deep networks

Reference 23

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Observation 9782e835-31ee-453e-9a57-752b2984444e · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.853240Z

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Observation d07441fa-85a2-4acb-b05d-5ef231ba70d9 · outbound

This paper cites Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations

Reference 25

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This paper cites Goodfellow, Yoshua Bengio, and Aaron C.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Goodfellow, Yoshua Bengio, and Aaron C

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.835683Z

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Observation a1e6606f-8a89-4d5d-9dcf-9c2be78b0dae · outbound

This paper cites Am- nesiac machine learning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Am- nesiac machine learning

Reference 27

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Observation 67cc43b3-ada0-4737-83b5-1f4c0aedffc5 · outbound

This paper cites US Government Printing Office, 1954.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness US Government Printing Office, 1954

Reference 28

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Observation 9cc49053-116b-46fd-9d72-aeb7c69a4d8e · outbound

This paper cites Hannun, and Lau- rens van der Maaten.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Hannun, and Lau- rens van der Maaten

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.810516Z

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Observation 4dd3ab65-74b8-4b5a-becf-eeceb4a3d1d5 · outbound

This paper cites Adaptive Machine Unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Adaptive Machine Unlearning

Reference 30

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Observation f5edc3d9-c775-4988-a642-0af8d5a83a5f · outbound

This paper cites A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services

Reference 31

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Observation 5bfa48b3-ed92-4fae-9ed2-202f08e652a7 · outbound

This paper cites EMA: au- diting data removal from trained models.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness EMA: au- diting data removal from trained models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.801873Z

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Observation b2aa85fa-5584-49d4-b8ad-c06343632373 · outbound

This paper cites Pleak: Prompt leaking attacks against large language model applications.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Pleak: Prompt leaking attacks against large language model applications

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.793233Z

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Observation 04643df5-6d30-4cf6-933a-205859874608 · outbound

This paper cites Approximate data deletion from ma- chine learning models.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Approximate data deletion from ma- chine learning models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.783863Z

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Observation 592aa1f2-f4f2-4e3e-a6d8-c0c397f7a4ce · outbound

This paper cites Ullman, and Roxana Geambasu.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Ullman, and Roxana Geambasu

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.773730Z

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This paper cites Jelinek, R.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Jelinek, R

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.764740Z

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Observation 817e34a7-0d41-4017-b7c8-07cf974bdb48 · outbound

This paper cites Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, and Nicolas Papernot.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, and Nicolas Papernot

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.755268Z

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Observation ad6d41ba-053d-4c4d-864a-952a4e9f417d · outbound

This paper cites Model sparsity can simplify machine unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Model sparsity can simplify machine unlearning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.744496Z

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Observation cabbfa1e-530d-4b6d-89d5-45392878aae9 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.729245Z

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Observation f5ae1dfe-e0c5-4f4a-83a1-e74db279766a · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Overcoming catastrophic forgetting in neural networks

Reference 40

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This paper cites Learning mul- tiple layers of features from tiny images.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Learning mul- tiple layers of features from tiny images

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:52.908388Z

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Observation 295b3bde-ff4a-4795-9ee2-448692e49e29 · outbound

This paper cites Lateste- val: Addressing data contamination in language model evaluation through dynamic and time-sensitive test con- struction.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Lateste- val: Addressing data contamination in language model evaluation through dynamic and time-sensitive test con- struction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.711988Z

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Observation a19f42ed-a960-40da-95f9-0529a4389199 · outbound

This paper cites Varshney, Mohit Bansal, Sanmi Koyejo, and Yang Liu.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Varshney, Mohit Bansal, Sanmi Koyejo, and Yang Liu

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.702149Z

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Observation 61f58775-ef1a-45ec-aca2-0917cd2e559f · outbound

This paper cites Tsaftaris.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Tsaftaris

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.692879Z

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Observation 47920eb5-d73f-4015-80c6-9dbcfdffc937 · outbound

This paper cites Learn to forget: Machine unlearning via neuron masking.IEEE Trans.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Learn to forget: Machine unlearning via neuron masking.IEEE Trans

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.682833Z

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Observation 5537d206-7ed8-45e0-9d45-2591735737c4 · outbound

This paper cites Smith, Kyle Richardson, and Jesse Dodge.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Smith, Kyle Richardson, and Jesse Dodge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.673103Z

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Observation 55caf3c5-a87f-47f7-869d-22bc4d315784 · outbound

This paper cites Sok: Membership inference attacks on llms are rushing nowhere (and how to fix it).

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Sok: Membership inference attacks on llms are rushing nowhere (and how to fix it)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.663507Z

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Observation d7748b53-519b-4441-8f76-31eb9aaa02cc · outbound

This paper cites an unresolved cited work.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:04:53.653436Z

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Observation fd37d95c-81ae-45fb-b79e-5d380afe3b81 · outbound

This paper cites In-context unlearning: Language models as few-shot unlearners.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness In-context unlearning: Language models as few-shot unlearners

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.643652Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 665d872d-6a7e-4a62-acd8-dc1da3cecbf1 · outbound

This paper cites Sur les équations algébriques ayant toutes leurs racines réelles.Mathematica, 9(129- 145):20, 1935.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Sur les équations algébriques ayant toutes leurs racines réelles.Mathematica, 9(129- 145):20, 1935

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.632323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d779fffd-4c44-4a9a-a649-f21bd306e4ed · outbound

This paper cites Safety alignment should be made more than just a few tokens deep.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Safety alignment should be made more than just a few tokens deep

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.620781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 258fbe45-462d-4c46-bf6b-e25d90e085a2 · outbound

This paper cites Detecting pretraining data from large language models.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Detecting pretraining data from large language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.608816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ac83c6b-e7b7-4b7a-823e-3fa1b94f5f9b · outbound

This paper cites Smith, and Chiyuan Zhang.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Smith, and Chiyuan Zhang

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.597816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 082188c9-a433-4d19-918d-2fc106a0e50b · outbound

This paper cites Membership inference attacks against machine learning models.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Membership inference attacks against machine learning models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.586909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec6ca8f3-3a34-4491-94e0-593448f3673a · outbound

This paper cites Asynchronous federated unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Asynchronous federated unlearning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.577604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76d753c9-f3b3-48e6-9e2f-d643c9f8caa7 · outbound

This paper cites Communication efficient and provable federated unlearning.Proceedings of the VLDB Endowment, 17(5):1119–1131, 2024.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Communication efficient and provable federated unlearning.Proceedings of the VLDB Endowment, 17(5):1119–1131, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.567886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62faa285-5b79-423b-a624-6c54e55d7cf0 · outbound

This paper cites Fast Yet Effective Machine Unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Fast Yet Effective Machine Unlearning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:52.961021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9acb0e2-08cc-4475-8d86-0d9e9ab39e8a · outbound

This paper cites Guardrail Baselines for Unlearning in LLMs.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Guardrail Baselines for Unlearning in LLMs

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:52.964562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7286d747-9f71-4f6a-98e9-ccd4b8ecf9c9 · outbound

This paper cites Google fined eur250 million in france over dispute with news publishers, 2024.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Google fined eur250 million in france over dispute with news publishers, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.556752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e281908d-738f-4e7d-8863-1cc2e9f186cf · outbound

This paper cites Unrolling SGD: understanding fac- tors influencing machine unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Unrolling SGD: understanding fac- tors influencing machine unlearning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.545557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3c44c9a-4367-4202-b81e-09a022900f15 · outbound

This paper cites On the necessity of auditable algorithmic definitions for machine unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness On the necessity of auditable algorithmic definitions for machine unlearning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.535029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3924d842-5490-4b8b-b267-58aaae03c4ca · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:52.979399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78ffc2e-f645-4978-9dfe-bd5d55fb6693 · outbound

This paper cites Rossi, and Raman Arora.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Rossi, and Raman Arora

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.524944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3af5df2-8ad5-4c32-871c-4586168b37b3 · outbound

This paper cites In- ductive graph unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness In- ductive graph unlearning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.512577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14aec622-308f-4e9b-942d-bf0dc18dafbd · outbound

This paper cites Machine unlearning of features and labels.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Machine unlearning of features and labels

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.500641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e499925f-c121-435b-96ec-f4fa03a830d6 · outbound

This paper cites Proof of unlearning: Def- initions and instantiation.IEEE Trans.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Proof of unlearning: Def- initions and instantiation.IEEE Trans

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.488272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2b1d637-8cac-4ac4-8d5f-5dd896511f4e · outbound

This paper cites Revisiting Differentially Private Hyper-parameter Tuning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Revisiting Differentially Private Hyper-parameter Tuning

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-07T06:04:53.215170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c162daf2-8400-4cad-ae05-434099bcf7ed · outbound

This paper cites Preserving node-level privacy in graph neural networks.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Preserving node-level privacy in graph neural networks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.475631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e07d63f6-991f-4cd4-80de-ddd61718af9b · outbound

This paper cites Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:53.003398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e831baf-b743-445d-984d-82636ec98f79 · outbound

This paper cites A theory to instruct differentially-private learning via clipping bias reduction.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness A theory to instruct differentially-private learning via clipping bias reduction

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.464887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41db8fea-8cb5-4bac-9a26-f9c10524fade · outbound

This paper cites Large lan- guage model unlearning.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Large lan- guage model unlearning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.454079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efcc80fe-0cf7-46dd-bd81-7756b42d13f3 · outbound

This paper cites Enhanced membership inference attacks against machine learn- ing models.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Enhanced membership inference attacks against machine learn- ing models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.442356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acc439bc-6e04-4ba2-ba20-adccb494ef11 · outbound

This paper cites Low- cost high-power membership inference attacks.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Low- cost high-power membership inference attacks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.430283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a98a9ab1-6b8a-4b80-9c24-153edb60978f · outbound

This paper cites Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:53.020257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3f7576-6a20-410f-85b4-253a07267cbb · outbound

This paper cites Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Frank Yang, and Hai Li.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Frank Yang, and Hai Li

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.418281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 588418d0-4f21-4309-9552-b9e29ccbd209 · outbound

This paper cites Furthermore, B(p)>0 by construction.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Furthermore, B(p)>0 by construction

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.393190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cff448f1-36af-4a7d-afeb-3f42dad3a00c · outbound

This paper cites Purchase100: It contains 197,324 anonymized data about customer purchases across 100 different product categories.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness Purchase100: It contains 197,324 anonymized data about customer purchases across 100 different product categories

Reference 78

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T06:04:53.180703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf8523a8-72bb-4ba3-8364-2d9df0ab7f8d · outbound

This paper cites A Notation Table Table 9: Key notations and definitions.

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness A Notation Table Table 9: Key notations and definitions

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:53.405658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

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